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Paper Citation Record · LEDGER

Query Expansion by Prompting Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2305.03653.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.03653 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:40:39.639030Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e733152b-769f-4d6b-8227-d8f339827e96 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Query Expansion by Prompting Large Language Models

Reference 137

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verified exact
arxiv_id, observed 2026-05-13T02:46:27.279859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:c6d309f1307ad4263a6dfbaf50f03eb6e1d0225d18ab08555661e8d968774272

Observation e8ae2e81-cb2d-45c8-8b35-d6b75a960241 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Query Expansion by Prompting Large Language Models

Reference 173

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verified exact
arxiv_id, observed 2026-05-18T04:33:39.224282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:89a0dcabb38f94355780dc8f5f33757f9aaa89cb6e346bf8b45e4bdef62ff433

Observation 377ff908-169a-4945-90e3-79fd9d539e1c · inbound

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants cites this paper.

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants Query Expansion by Prompting Large Language Models

Reference 10

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no resolver link, observed 2026-08-09T18:40:39.639030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:40:39.639030Z digest=sha256:f7e91384776205ca904ec03ae9c34051f91a408b7f4fce254174befde9727371

Observation e23ed850-c823-4875-ae19-cf30398ad08b · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Query Expansion by Prompting Large Language Models

Reference 24

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verified exact
arxiv_id, observed 2026-05-23T04:37:31.866942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T04:36:32.897387Z digest=sha256:73bfcfb777f0cfbed5c5bb1e9d6bf5b1260be8c9ffe025af2709a7ad4fed78c0

Observation 5f9749b4-1605-44a9-9869-7e77e29785e3 · inbound

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry cites this paper.

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry Query Expansion by Prompting Large Language Models

Reference 16

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no resolver link, observed 2026-08-08T04:43:14.909087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:43:14.909087Z digest=sha256:191e68205aec8b6aac563d726378e1fa8b15fb667c076aa708685fc9928decb6

Observation 7d631a2a-6949-40da-afba-e3647031175f · inbound

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations cites this paper.

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations Query Expansion by Prompting Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.687766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.687766Z digest=sha256:a42c12cfd564cdca6d7538d87efcf4dc8d5fad93fe9f6d10ccd159a4544187b8

Observation a8d8330d-040f-436b-bf64-80819c7cb715 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Query Expansion by Prompting Large Language Models

Reference 15

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no resolver link, observed 2026-08-07T10:38:17.808919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:17.808919Z digest=sha256:b52fb8eedc56d5484823810856693a35e677012ecc731ae9caaa98bc2ee37e3f

Observation 27d8f9d2-fed4-417f-bbea-97ea99ad3105 · inbound

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval cites this paper.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval Query Expansion by Prompting Large Language Models

Reference 14

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no resolver link, observed 2026-08-07T10:40:12.884293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:12.884293Z digest=sha256:2e444630e700c8c40fbb3d68a2e64fa446bda2fed6bd03e210ba36664bed5d2a

Observation e3cce578-8e54-4d06-9e2f-f0f172af9abc · inbound

On the Merits of LLM-Based Corpus Enrichment cites this paper.

On the Merits of LLM-Based Corpus Enrichment Query Expansion by Prompting Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T06:06:36.057764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:36.057764Z digest=sha256:eadffd9aa850cb7fc01cbede58e134061875b8283d5cb02d8652289207e2de25

Observation c33d0261-c2f9-46ce-8965-aaf4016bf124 · inbound

TongSearch-QR: Reinforced Query Reasoning for Retrieval cites this paper.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Query Expansion by Prompting Large Language Models

Reference 11

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no resolver link, observed 2026-08-07T04:07:19.355526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.355526Z digest=sha256:5803d526a2b78ac4001fcec4cddc16184bc7045bad17a85ab6287d767e2925c6

Observation 55c6c97d-6bbe-40b9-8460-211288b871a1 · inbound

Text-to-SQL for Enterprise Data Analytics cites this paper.

Text-to-SQL for Enterprise Data Analytics Query Expansion by Prompting Large Language Models

Reference 9

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no resolver link, observed 2026-08-06T16:09:53.509843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:53.509843Z digest=sha256:3f9023468e94b59969ae7b849c9cb914083a20043d5514bddc1e02c7906336ad

Observation 0cba48c9-9af7-4460-a1ea-2ab7a82bc985 · inbound

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration cites this paper.

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration Query Expansion by Prompting Large Language Models

Reference 19

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no resolver link, observed 2026-08-06T05:00:32.049392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:32.049392Z digest=sha256:f48b105a7ad7255c310cf91e98377146d75481ca85436aa771fc2d39a89dc642

Observation c7a9a85c-8607-48fd-8ed1-c1a25b4acd02 · inbound

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input cites this paper.

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input Query Expansion by Prompting Large Language Models

Reference 20

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no resolver link, observed 2026-08-05T19:49:49.592780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:49.592780Z digest=sha256:63c1454024276daf645dc50402b24044caf52cfb330ddfd4e8e28a0a6dba32ca

Observation be76e098-d233-401b-91be-1ff6c6f7ef81 · inbound

A Case Study of Balanced Query Recommendation on Wikipedia cites this paper.

A Case Study of Balanced Query Recommendation on Wikipedia Query Expansion by Prompting Large Language Models

Reference 7

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no resolver link, observed 2026-08-05T15:10:51.059041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:10:51.059041Z digest=sha256:b1af755b6c4a2d462c0b8185926acabb9401fc9ed94c49e63bfe4b5e5533f749

Observation 6d706749-684d-402c-9604-4338cb3ac149 · inbound

Upcycling Candidate Tokens of Large Language Models for Query Expansion cites this paper.

Upcycling Candidate Tokens of Large Language Models for Query Expansion Query Expansion by Prompting Large Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-05T11:40:15.550347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:40:15.550347Z digest=sha256:f1cca3cc2ff41bdbfee3a1090d5b678877ae8417532ef3cd1fe6db26da928ee3

Observation fdc6706f-2a82-41ee-bfe3-9007be5122be · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval Query Expansion by Prompting Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T23:23:40.197978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:40.197978Z digest=sha256:bc2acac28ea3fe4aa82090ced6843a09580c0f9b6c5cc3e3d9447eb7167f7855

Observation 2a4fbbf0-048e-4a8e-878a-9b0eac4da28e · inbound

Benchmarking Information Retrieval Models on Complex Retrieval Tasks cites this paper.

Benchmarking Information Retrieval Models on Complex Retrieval Tasks Query Expansion by Prompting Large Language Models

Reference 37

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no resolver link, observed 2026-08-04T22:37:58.133713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:37:58.133713Z digest=sha256:4cc8ca4c48169113afd2615a5851962be0551c2e1f8aafc0a56c1fbf6e46560a

Observation 1f740a60-61f7-455e-9896-e1360df8be1f · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Query Expansion by Prompting Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:43.106613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:1a785e269339009549587ac3a66582e4fdea185d1be5e29ebaf0c70b1eff1ba6

Observation f03d84fd-85c2-4bd4-8f60-678ebeb8d3cf · inbound

LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge cites this paper.

LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge Query Expansion by Prompting Large Language Models

Reference 3

Resolution
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no resolver link, observed 2026-08-04T20:24:55.822404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:24:55.822404Z digest=sha256:f48f321850f72721365aade670e090edf34975b96008bf85c4009be4b2d10767

Observation 515abc82-83ba-490d-b5f7-de5ac2abc89b · inbound

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization cites this paper.

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization Query Expansion by Prompting Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:52:06.083913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T20:50:53.673037Z digest=sha256:b7c6c77e209d3f6b1fdc7775c51886ffe75d345ac8cde496718846b09a5fb7b9

Observation ba43ef93-0d96-4f59-9bff-2e211db4324b · inbound

WisPaper: Your AI Scholar Search Engine cites this paper.

WisPaper: Your AI Scholar Search Engine Query Expansion by Prompting Large Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-05-17T00:48:46.005385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:45:31.726233Z digest=sha256:160a0dd21537b31400c9133415977c7457f83b9e7c3710d3e9a646878ad95dc5

Observation d6a6b037-c2c5-4f4a-8565-295fb2d2b673 · inbound

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search cites this paper.

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search Query Expansion by Prompting Large Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-05-16T22:13:36.070104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T22:13:09.908378Z digest=sha256:17cdf90ae025bfe6f043fa348a58ee5b5d1d17f8753a666f52d6b6940a134c0a

Observation 82d56b4c-b557-4af3-967c-0ed88a3c47f4 · inbound

Towards Knowledgeable Deep Research: Framework and Benchmark cites this paper.

Towards Knowledgeable Deep Research: Framework and Benchmark Query Expansion by Prompting Large Language Models

Reference 14

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arxiv_id, observed 2026-05-11T05:10:54.528886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:17:35.879705Z digest=sha256:c7ea5e38dede309a7dbd3fca926b66c59e5367a3a57757199117d2c38f80ceed

Observation 47c77158-c491-4bd1-9699-8bf4fa2e2419 · inbound

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA cites this paper.

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA Query Expansion by Prompting Large Language Models

Reference 55

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arxiv_id, observed 2026-05-10T02:53:29.898906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T02:45:16.595617Z digest=sha256:c2049d643960ee836138d0eb452243aa859a5751d7c1f78e00db4f7e82baefc7

Observation 32a5a456-3494-453c-8908-2050452420b7 · inbound

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines cites this paper.

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines Query Expansion by Prompting Large Language Models

Reference 45

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arxiv_id, observed 2026-05-11T20:06:10.095132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T10:18:59.759192Z digest=sha256:c52ad865b32a03c11302824b37b584be5d2f4650a0833e4f1555a097eb19a9c5

Observation 5de4c27d-51bc-4568-90d5-80168b8a1f8e · inbound

A Reproducibility Study of LLM-Based Query Reformulation cites this paper.

A Reproducibility Study of LLM-Based Query Reformulation Query Expansion by Prompting Large Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-12T09:51:27.826732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T09:04:41.641995Z digest=sha256:56bd536d275369dee1c9f78e582e75ff3bea15b21cdc0f6a9b11cd2b84a21188

Observation 823de8a6-c13f-4ef2-b580-15c2fe4977df · inbound

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback cites this paper.

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback Query Expansion by Prompting Large Language Models

Reference 10

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verified exact
arxiv_id, observed 2026-05-09T19:35:39.600127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T18:40:35.840350Z digest=sha256:75fec752ab107f3a24878248f1c0bf5f93e28bfe83b8652a6413f20bd4712093

Observation 1a82d8c6-c8c4-4847-a9c4-a03d24f895ca · inbound

Policy-Grounded Dynamic Facet Suggestions for Job Search cites this paper.

Policy-Grounded Dynamic Facet Suggestions for Job Search Query Expansion by Prompting Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:37:47.841235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T21:36:48.182204Z digest=sha256:fed7ec9c3b009853818310f8ac734c76f30e9b7a157114e21957e21c8f3ea7cb

Observation a45f2561-65af-4a69-9bae-a52ad56a140b · inbound

Retrieval-Oriented Code Representations in Agentic Bug Localization cites this paper.

Retrieval-Oriented Code Representations in Agentic Bug Localization Query Expansion by Prompting Large Language Models

Reference 19

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no resolver link, observed 2026-07-14T07:26:27.360126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T07:26:27.360126Z digest=sha256:3d9f05cfb00f84d141134d10c1cec68fdbb4e18d96375840995fd7d9fbd670c3

Observation 1ccbe642-a3ad-4e85-93ee-293980dd7228 · inbound

PCTD: Preference-Guided Counterfactual Task Decomposition for Agent Tool Retrieval cites this paper.

PCTD: Preference-Guided Counterfactual Task Decomposition for Agent Tool Retrieval Query Expansion by Prompting Large Language Models

Reference 26

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no resolver link, observed 2026-08-01T22:39:23.722112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:39:23.722112Z digest=sha256:a27274c7e7137a723f7f1ca7e227666e034f59eac172039fa4fbffdaa2a71bec

Observation 32a1fb78-f491-40a1-a22d-33eccc91fbbd · inbound

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads cites this paper.

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads Query Expansion by Prompting Large Language Models

Reference 18

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no resolver link, observed 2026-08-01T03:36:58.871350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:36:58.871350Z digest=sha256:8bc2872e9430bbaeecb8ca5b7040b37b3c6a926b671a8326cec4604da715fde2

Observation 6046eab3-aa4a-4280-b80d-f4f6257f0412 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System Query Expansion by Prompting Large Language Models

Reference 23

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no resolver link, observed 2026-08-01T06:25:06.323397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:25:06.323397Z digest=sha256:91a5a802ddf1196f6587bba14ead87b1c69abeb7a24c8451a448868aa6a1dfd1